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| 008 | 170112s2017 sz ob 000 0 eng d | ||
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_a3319520482 _q(electronic bk.) |
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_a(OCoLC)968211943 _z(OCoLC)968660913 _z(OCoLC)974649953 _z(OCoLC)981889011 _z(OCoLC)1005833056 _z(OCoLC)1011908261 |
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_aTK7881.25 _bG439 2017 EB |
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| 100 | 1 |
_aGhayvat, Hemant, _eautor |
|
| 245 | 1 | 0 |
_aWellness protocol for smart homes : _ban integrated framework for ambient assisted living _cHemant Ghayvat, Subhas Chandra Mukhopadhyay. |
| 264 | 1 |
_aCham _bSpringer _c2017 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aSmart sensors, measurement and instrumentation _x2194-8402 _vvolume 24 |
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| 500 |
_aSpringerLink _bSpringer Engineering eBooks 2017 English+International |
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| 504 | _aIncluye referencias bibliográficas | ||
| 505 | 0 | _aIntroduction -- Literature Survey -- Wellness Protocol Development and Implementation -- Issues and Mitigation of WSNs-based Smart Building Systems -- Activity Detection and Wellness Pattern Generation -- Wellness Pattern Generation and Forecasting -- Conclusion and Future Works. | |
| 520 | 3 | _aThis book focuses on the development of wellness protocols for smart home monitoring, aiming to forecast the wellness of individuals living in ambient assisted living (AAL) environments. It describes in detail the design and implementation of heterogeneous wireless sensors and networks as applied to data mining and machine learning, which the protocols are based on. Further, it shows how these sensor and actuator nodes are deployed in the home environment, generating real-time data on object usage and other movements inside the home, and therefore demonstrates that the protocols have proven to offer a reliable, efficient, flexible, and economical solution for smart home systems. Documenting the approach from sensor to decision making and information generation, the book addresses various issues concerning interference mitigation, errors, security and large data handling. As such, it offers a valuable resource for researchers, students and practitioners interested in interdisciplinary studies at the intersection of wireless sensing processing, radio communication, the Internet of Things and machine learning, and in how they can be applied to smart home monitoring and assisted living environments. | |
| 650 | 7 |
_aDomótica _2embne _0(OCoLC)fst00959102 _0 _9424527 |
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| 700 | 1 |
_aMukhopadhyay, Subhas Chandra, _eautor _997236 |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-52048-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 988 | _aEBOOK, asignarmaterias, EBSPRINGER_2017B | ||
| 998 |
_b02/2018 _dz _e- _zSI |
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_c95207 _d95207 _x1 |
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